Import listing data
Bring in seller-owned listing data from Shopify, an Etsy CSV, a marketplace export, or a spreadsheet. SellerGlow preserves source context so you know where each record came from.
Private beta · Listing Quality Workbench
Clean, repair, and review product listings before they move.
SellerGlow helps sellers import messy listing data, diagnose weak or risky fields, repair what is safe, and review every change before approved content moves to Shopify, a reviewed export, a private-beta API workflow, or AI-readable product surfaces.
What SellerGlow does
One workspace for the listing quality loop sellers repeat all the time.
Whether your source is Shopify, an Etsy CSV, a marketplace export, or a spreadsheet, the job is the same: understand what you have, find what is weak, repair what is safe, and approve the version you want to use next.
Diagnose issues
See missing fields, weak copy, risky claims, tag gaps, and platform-readiness issues grouped by listing and field so the next action is obvious.
Repair
Generate structured repairs for fields that can be safely improved. SellerGlow avoids inventing product facts and flags anything that needs human judgment.
Review changes
Compare original and repaired values side by side, read the reason for each change, and approve, edit, or reject before anything leaves the workbench.
Apply or export
Send approved Shopify-ready updates to Shopify, download a reviewed export from the Workbench, or call the same validation and repair primitives through the API.
AI shopping readiness
Listings need to be understandable before they can be discovered.
SellerGlow treats AI visibility as a readiness layer, not a ranking promise. It checks whether a listing has the structured fields, product facts, natural-language context, and review-safe evidence that shopping feeds, semantic search, and AI discovery surfaces can understand.
Structured product facts
Spot missing basics like brand, product identifiers, variants, materials, dimensions, care details, price, and availability context.
Natural-language clarity
Turn thin, fragmented, or marketplace-specific descriptions into factual product context buyers and shopping systems can parse.
Review-safe evidence
Separate hard rules, best practices, seller preferences, and inferred product facts so sellers know what to verify before accepting changes.
Clear boundary:
AI-readiness signals do not guarantee rankings, placement, traffic, inclusion, or conversion. They help sellers understand and improve the product data they control.
Show the workflow
Product clips, not stock footage.
SellerGlow should feel concrete before anyone signs in: import source data, inspect the issues, repair safe fields, review the change, and move only approved output.
01 · Select
Pick the listings that need work
Show sellers the first decision: choose the catalog records, set the target context, and start with a bounded batch.
02 · Diagnose
Turn source data into a review queue
Make weak fields, missing facts, and readiness issues feel organized instead of overwhelming.
03 · Explain
Keep guidance beside the decision
Glow should explain what changed and why while the seller keeps the final approval control.
04 · Plan
Understand the batch before repairs run
Imported records, source context, and destination intent stay visible before SellerGlow prepares updates.
05 · Repair
Prepare safe field improvements
Before-and-after work stays visible so SellerGlow never feels like silent automation.
06 · Apply/export
Move only approved content
Reviewed updates move to Shopify, a Workbench export, or API workflows only after approval.
Trust and control
The safety model is visible before anything moves.
Sellers need to know what happens to their store, their data, and their approval process before they trust any listing tool.
Review-first
SellerGlow suggests changes, explains what changed, and waits for your approval before anything writes to your store.
Deterministic repair
When listing data can be safely corrected, repairs are planned as structured output — no creative liberties, no surprise rewrites.
Data posture
Your product content powers the workflow and is not sold to third parties.
Do I need to use all three surfaces?
No. Most sellers start with one — usually the SellerGlow Workbench if they work across messy source files, or the Shopify App if Shopify is their store of record. The same listing quality model supports all three; pick the surface that fits your day.
Will the Shopify app touch my Etsy listings?
No. The Shopify app uses Etsy or other marketplace exports as seller-owned source material when you want them, but the destination inside the embedded app is Shopify. Multi-marketplace export and adaptation work belongs to the SellerGlow Workbench.
How does the API differ from the apps?
The API exposes the same validation and repair primitives the apps use, so partner teams can build SellerGlow expertise into their own tooling. It's private beta and approved per partner.
Where to start
Three doors into the same listing quality system.
Pick the surface that matches the job: the Workbench for broad seller-owned listing data, Shopify for reviewed Shopify-ready updates, or the API for teams building listing quality into their own tools.
SellerGlow Workbench
Browser workspace for sellers with messy listing data. Import CSVs and marketplace exports, diagnose field-level issues, repair safe values, review before/after changes, and download approved exports.
Open the workspace
Shopify App
SellerGlow is Shopify-first in the embedded app. Import Shopify products, use seller-owned external exports as source material, prepare Shopify-ready updates, and review every change before applying it inside Shopify Admin.
Request Shopify access
API Platform
REST endpoints for teams who want listing validation, field-level findings, deterministic repair, request IDs, idempotency, and no-bluff warnings inside their own product.
Request API access